À propos de Fahd
Data Engineer passionate about technology and continuous learning, I design reliable and scalable Big Data solutions leveraging Azure cloud environments and tools such as Spark, Python, and Airflow. Curious, detail-oriented, and team-driven, I turn data into actionable insights while ensuring data quality, performance, and traceability. My analytical mindset and ability to prioritize enable me to adapt to evolving challenges and effectively address both technical and organizational issues.
In addition to programming, I have
solid skills in Graphic Design.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- L'OréalData Engineerjanvier 2026 - Aujourd'hui (5 mois)Paris, France• • Developed backend services in Python focused on observability, exposing APIs to monitor data pipelines.• • Designed and orchestrated ETL/ELT pipelines using Airflow and Spark (ingestion, transformation, data quality, lineage).• • Built new Airflow DAGs to onboard additional data sources.• • Implemented data observability solutions, including monitoring, anomaly detection, and pipeline reliability improvements.• • Contributed to the migration of the project framework to version V2, including transition to a new storage account.• • Ensured data consistency and flow across Medallion architecture layers (Bronze, Silver, Gold).• • Developed and enhanced Grafana dashboards with interactive features for monitoring key metrics.• • Collaborated with cross-functional teams in an Agile (Scrum) environment. Technical environment: Python, Spark, Airflow, Azure, PostgreSQL, Delta Lake, Medallion, Grafana, Docker, CI/CD
- BPCE NATIXISData Engineerfévrier 2023 - décembre 2025 (2 ans et 10 mois)• • Provided application maintenance and support (TMA), handling business requests including new feature development and critical data corrections, notably for regulatory needs (Banque de France).• • Worked in a CI/CD environment: development, version control (Git/Bitbucket), packaging (Jenkins), and automated deployment (XL Deploy, XL Release).• • Contributed to the replacement of a core data source: impact analysis, development, and production deployment.• • Led the migration from Spark 2 to Spark 3, adapting code and dependencies.• • Developed a monitoring module for source table volumes with automated reporting.• • Participated in business meetings, providing technical expertise and implementation insights.• • Worked in an Agile environment (daily meetings, sprint reviews). Technical environment: Hive, Spark, Scala, HDFS, Hue, Git, CI/CD, Agile, Data validation/testing
- Orange TUNData Engineerfévrier 2022 - janvier 2023 (11 mois)• • Replaced data ingestion and processingjobs built with Talend by automated workflows using Apache NiFi, including testing and production deployment.• • Processed, cleaned, and transformed data using PySpark according to business requirements.• • Developed Big Datajobs for internal Orange projects.• • Scheduled and automated workflows using Oozie.• • Implemented data pipeline monitoring using Elasticsearch and Kibana for real-time tracking. Technical environment: Hive, NiFi, Spark, Scala, Python, SQL, HDFS, Hue, Impala, Oozie, Elasticsearch, Kibana, Kafka
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Formations
- Engineering Degree in Computer ScienceNational Engineering School of Carthage (ENICarthage) – Tunisia2021